Loading Blockgroups and Social Distancing Data

The code below loads in the Safegraph Social Distancing dataset.

## Reading layer `CSJ_Census_Tracts' from data source `/Users/ctenner/pCloud Drive/SFBI/Data Library/San_Jose/CSJ_Census_Tracts/CSJ_Census_Tracts.shp' using driver `ESRI Shapefile'
## Simple feature collection with 219 features and 9 fields
## geometry type:  MULTIPOLYGON
## dimension:      XY
## bbox:           xmin: 6112856 ymin: 1869687 xmax: 6255982 ymax: 1996555
## epsg (SRID):    2227
## proj4string:    +proj=lcc +lat_1=38.43333333333333 +lat_2=37.06666666666667 +lat_0=36.5 +lon_0=-120.5 +x_0=2000000.0001016 +y_0=500000.0001016001 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=us-ft +no_defs
## Reading layer `CITY_COUNCIL_DISTRICTS' from data source `/Users/ctenner/Desktop/Classes/118/City Council Districts/CITY_COUNCIL_DISTRICTS.shp' using driver `ESRI Shapefile'
## Simple feature collection with 10 features and 7 fields
## geometry type:  POLYGON
## dimension:      XY
## bbox:           xmin: 6112856 ymin: 1869687 xmax: 6255982 ymax: 1996555
## epsg (SRID):    2227
## proj4string:    +proj=lcc +lat_1=38.43333333333333 +lat_2=37.06666666666667 +lat_0=36.5 +lon_0=-120.5 +x_0=2000000.0001016 +y_0=500000.0001016001 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=us-ft +no_defs

Median Household Income Analysis

My first analysis looks at the median household income of each block group in San Jose and how it correlates to the percent of residents who have been staying completely at home in the past three days.

Percent Below 50%, 80% of AMI

Using area median income (AMI) is a more appropriate way to measure low-income status, as the cost of living is substantially higher than the federal average in San Jose. This analysis plots percent of devices entirely at home against percent of households with incomes 50% and 80% percent of Santa Clara County AMI.

Loading in LODES Data

In this part of my analysis I load in a LODES dataset on SJ in order to compare percent of devices at home to a number of economic and employment factors.

Loading in Language Data

Plotly